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Bosch Group

<div><section><div><p></p><h2>Company Description</h2></div><div><p><strong>At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.</strong></p><p>The Robert Bosch GmbH is looking forward to your application!</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><p>Future products from Bosch are connected and learn during operation. Especially for dynamic systems interacting with each other new challenges arise for developing and safeguarding such functionalities. We focus on developing new approaches at the interface between control theory and computer science to ensure efficient controls for heating systems in buildings.</p><ul><li>As part of  our team, you will analyze, model as well as simulate dynamic  systems and develop safe approaches for solving complex learning such as control engineering problems.</li><li>You will design data- and model-based methods as well as test their robustness. Furthermore, you apply these methods to constrained linear, nonlinear, and distributed systems with parameter and structural uncertainties.</li><li>Last but not least, you maintain close contact with the customer, take into account product-specific requirements, prepare solution approaches and minimum viable software products in a target-group-oriented manner.</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education: </strong>excellent PhD in the field of Computer Science, Electrical Engineering, Cybernetics or Mechanical Engineering</li><li><strong>Experience and Knowledge: </strong>sound knowledge of model-based linear and nonlinear control theory, experience with controls of heating systems, identification methods based on physical and data-based models, practiced use of modern software tools and interest in software engineering methods</li><li><strong>Personality: </strong>willing to take initiative and responsibility</li><li><strong>Working Practice: </strong>methodical, structured, solution-oriented and quality conscious</li><li><strong>Enthusiasm: </strong>for technical challenges, affinity for developing solutions in interdisciplinary, diverse teams and implementing them up to the functional model</li><li><strong>Languages: </strong>very good in English</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><p>Help us Boosting Bosch with AI.</p><p><a href="https://www.bosch-ai.com">https://www.bosch-ai.com</a><br>
<a href="http://www.bosch.com/research">www.bosch.com/research</a></p><p>You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models or job-sharing. Feel free to contact us.</p><p>Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.</p><p><strong>Need support during your application?</strong><br>
Kathrin Stipak (Human Resources)<br>
+49(711)811-38015</p><p><strong>Need further information about the job?</strong><br>
Adrian Trachte (Functional Department)<br>
+49(711)811-49397</p></div></section></div>

Research Engineer for Building Heating Systems Control (f/m/div.)

remote

about 1 month ago